Published January 1, 2005 | Version v1
Journal article Metadata-only

A systematic approach to the modelling of measurements for uncertainty evaluation

Creators

  • 1. Landesamt fuer Mess- und Eichwesen Thueringen (LMET), D-98693 Ilmenau (Germany)
  • 2. Friedrich-Alexander-University of Erlangen-Nuremberg, D-91052 Erlangen (Germany)
  • 3. Physikalisch-Technische Bundesanstalt (PTB), D-38116 Braunschweig (Germany)

Description

The evaluation of measurement uncertainty is based on both, the knowledge about the measuring process and the quantities which influence the measurement result. The knowledge about the measuring process is represented by the model equation which expresses the interrelation between the measurand and the input quantities. Therefore, the modelling of the measurement is a key element of modern uncertainty evaluation. A modelling concept has been developed that is based on the idea of the measuring chain. It gets on with only a few generic model structures. From this concept, a practical stepwise procedure has been derived

Availability note (English)

Available online at http://stacks.iop.org/1742-6596/13/224/jpconf5_13_052.pdf or at the Web site for the Journal of Physics. Conference Series (Online) (ISSN 1742-6596) http://www.iop.org/

Additional details

Identifiers

URL
http://stacks.iop.org/1742-6596/13/224/jpconf5_13_052.pdf; http://www.iop.org/;
DOI
10.1088/1742-6596/13/1/052;

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
13
Journal Issue
1
Journal Page Range
p. 224-227
ISSN
1742-6596

Conference

Title
7. international symposium on measurement technology and intelligent instruments
Dates
6-8 Sep 2005
Place
Huddersfield (United Kingdom)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
36111542
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
EQUATIONS; ERRORS; EVALUATION; MATHEMATICAL MODELS; MEASURE THEORY; MEASURING METHODS
Descriptors DEC
MATHEMATICS